TechValidate Research on CA Infrastructure Management

Case Study: Fortune 500 Telecommunications Services Company


This case study of a Fortune 500 telecommunications services company is based on a July 2013 survey of CA Technologies Capacity Management customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

“CA Capacity Management allows for rapid ‘what if’ analysis on various hardware platforms while maintaining accuracy of our current application models.”


  • Solved the following challenges with CA Capacity Management:
    • Right-sized their IT environment to avoid costly over-and-under provisioning
    • Predicted future capacity needs on a data center-wide scale to support the business
    • Improved migration, consolidation & deployment efforts

Use Case

  • Integrated 4 performance monitoring systems into their CA Capacity Management solution for centralized reporting.
  • Has < 10,000 servers under management with their CA Capacity Management Solution.


  • Reduced 10-20% of their hardware using CA Capacity Management.
  • Saves 50 – 100 FTE hours per month with automated performance data collection by CA Capacity Management.
  • Rates CA Capacity Management’s ease of use as 9 out of 10.
  • Realized the following benefits with CA Capacity Management:
    • Improved productivity for their capacity planning processes
    • Reduced costs related to Capital Expenses (CapEx) and Operating Expenses (OpEx)
    • Improved application performance
    • Achieved alignment with IT and the business
  • Finds that the following factors differentiate CA Capacity Management from the competition:
    • Scalability
    • Speed/time to value
    • Ease of use
    • Depth/breadth of vendor support for capacity planning
    • Depth/breadth of modeling support for capacity planning

About This Data

This data was sourced directly from verified users of CA Infrastructure Management by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.

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